LA’s Biostatistics and Data Science Training Program (LA’s BeST)

洛杉矶生物统计学和数据科学培训计划 (LAâs BeST)

• 批准号: 10368449
• 负责人: Juan Pablo Lewinger
• 金额: $ 25.28万
• 依托单位: UNIVERSITY OF SOUTHERN CALIFORNIA
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-08-01 至 2027-07-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10368449
• 关键词: Acute; Address; Alaska; Alaskan; American Indians; Artificial Intelligence; Automobile Driving; Bachelor' s Degree; Big Data; Biomedical Research; Biometry; Black race; California; Chronic; Clinical; Clinical Trials; Collaborations; Computers; Computing Methodologies; Conscious; Data; Data Science; Data Scientist; Development; Diagnostic; Discipline; Diverse Workforce; Education; Educational Curriculum; Educational Status; Educational process of instructing; Educational workshop; Electronic Health Record; Employment; Enrollment; Epidemiologic Methods; Epidemiology; Faculty; Family; Felis catus; Female; Funding; Generations; Genetic; Genomics; Goals; Growth; Health; Heart Diseases; Historically Black Colleges and Universities; Individual; Interdisciplinary Study; Interview; Japanese American; Latino; Latinx; Lead; Leadership; Learning; Life; Location; Lung diseases; Machine Learning; Mentors; Mentorship; Monitor; National Heart, Lung, and Blood Institute; National Institute of Environmental Health Sciences; Oral; Play; Population; Population Heterogeneity; Positioning Attribute; Prevention; Preventive Medicine; Research; Research Design; Research Project Grants; Role; Schools; Scientist; Statistical Methods; Students; System; Talents; Time; Training; Training Programs; Underrepresented Populations; Underrepresented Students; United States National Institutes of Health; Universities; Woman; Writing; built environment; career; college; ethnic diversity; faculty mentor; follow-up; graduate school preparation; graduate student; hands on research; health data; health disparity; holistic approach; interdisciplinary approach; job market; lectures; medical specialties; mindfulness; multidisciplinary; novel; postgraduate education; professional atmosphere; programs; prospective; recruit; sensor; skills; statistics; student mentoring; success; summer research; unconscious bias; undergraduate student; working group

ABSTRACT Health disparities in our nation are acute, increasing, and known to be caused by many factors. A multi- faceted approach by multi-disciplinary teams of scientists is needed to properly tackle this chronic and growing problem. Increasing the diversity of biomedical research scientists is one key strategy to address this crisis. With the current deluge of health-related data and a projected 34% growth in the job market for statisticians from 2019 to 2029 (Bureau of Labor Statistics), now is the time to diversify our workforce in the specialties of biostatistics and data science. Herein, we plan to expand the pool of students from underrepresented groups in these disciplines by introducing a new curriculum for teaching critical skills in biostatistics and data science, LA’s Biostatistics and Data Science Summer Training Program at the University of Southern California (LA’s BeST @USC), with a focus on current research challenges in the study of heart and lung disease. The Division of Biostatistics in the Department of Preventive Medicine of the University of Southern California (USC) is uniquely positioned to attract talented undergraduates from underrepresented groups into these fields due to its success in graduate level training since 1976, its location in the ethnically diverse LA Basin, its multi-disciplinary research in diverse populations, and real-life oriented approach to biomedical research. The faculty has expertise in ‘big data’, machine learning, epidemiological methods, spatial statistics and clinical trials, and has an NIH-funded P01 to develop novel statistical methods for integrative genomics. Training a diverse workforce of scientists requires a diverse faculty. A team of faculty from backgrounds including women, Latinx, Japanese American, and first in their family to attain a college education, who all share a tradition of individual hands-on research mentorship and extensive portfolios of research grant support in biostatistics, epidemiology, clinical trials, and electronic health records, is amassed and available to trainees. With this team, we propose the following specific aims: 1) To identify and recruit high-quality and highly motivated college undergraduate students from underrepresented groups. 2) To provide the trainees with courses and hands-on training in biostatistics and data science. 3) To provide mentoring and professional development training. 4) To track LA’s BeST trainees through completion of their undergraduate degree, post-graduate education, and to their first employment.

摘要 我们国家的健康差距是严重的，越来越大，已知是由许多因素造成的。一个多- 需要多学科科学家小组采取多方面的方法来妥善解决这一长期存在的问题， 成长的问题增加生物医学研究科学家的多样性是一个关键战略， 解决这场危机。随着目前大量的健康相关数据和预计34%的增长， 2019年至2029年统计学家的就业市场（劳工统计局），现在是多样化的时候了 我们在生物统计学和数据科学专业的劳动力。因此，我们计划扩大 通过引入新的课程， 教授生物统计学和数据科学的关键技能，洛杉矶的生物统计学和数据科学夏季 南加州大学（LA's BeST @USC）的培训计划，重点关注当前 心脏和肺部疾病研究的挑战。 香港大学预防医学系生物统计学系 南加州（USC）具有独特的优势，可以吸引来自 由于自1976年以来在研究生培训方面取得的成功， 在种族多样的洛杉矶盆地的位置，其在不同人群的多学科研究，以及 以现实生活为导向的生物医学研究方法。该学院拥有“大数据”，机器 学习，流行病学方法，空间统计和临床试验，并有一个NIH资助的P01， 为整合基因组学开发新的统计方法。培养多样化的科学家队伍 需要多元化的师资力量一个来自不同背景的教师团队，包括女性，拉丁裔，日本人 他们都是美国人，也是家里第一个接受大学教育的人，他们都有一个传统， 实践研究指导和广泛的生物统计学研究资助组合， 流行病学、临床试验和电子健康记录等资料已收集起来，并提供给受训人员。与 这个团队，我们提出以下具体目标：1）识别和招募高素质和高水平的 来自弱势群体的积极的大学本科生。2)为受训者提供 提供生物统计学和数据科学方面的课程和实践培训。3)提供指导， 专业发展培训。4)为了跟踪洛杉矶的最佳学员，通过完成他们的 本科学历，研究生学历，并能第一次就业。